## label_data_with_gpt.py
--data_id
--prompt_id
--llm_id
## LabeledDaraset/
LabeledDaraset/{LLM_id}-{task_id}-{prompt_id}/train
LabeledDaraset/{LLM_id}-{task_id}-{prompt_id}/test
## preprocess_dataset.py preprocess spider dataset
## prompt_template.py manul defined prompt
## train_local_model.py
--small_dnn_id
--labeled_data_id
## utils.py common used function
1. get the ground truth dataset for each task.
spider dataset needs specifical preprocess
2. query gpt and save to ```LabeledDaraset```
3. train local model using the dataset from ```LabeledDaraset```.